A Physics-Informed Neural Network to solve 2D steady-state heat equations.

A Finite Difference Method Engine in C++

C++/CUDA implementation of the most popular hyperbolic and parabolic PDE solvers

Finite-Difference Approximations to the Heat Equation. Implementation of schemes: Forward Time, Centered Space; Backward Time, Centered Space; Crank-Nicolson.

Notes and examples on how to solve partial differential equations with numerical methods, using Python.

Computational Methods for Numerical Analysis

Image restoration by PDE and by Wavelet transform

Two solutions, written in MATLAB, for solving the viscous Burger's equation. They are both spectral methods: the first is a Fourier Galerkin method, and the second is Collocation on the Tchebyshev-Gauß-Lobatto points.

In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm

Heat Equation using different solvers (Jacobi, Red-Black, Gaussian) in C using different paradigms (sequential, OpenMP, MPI, CUDA) - Assignments for the Concurrent, Parallel and Distributed Systems course @ UPC 2013

2D heat equation solver

Numerical Analysis Problems and Solutions

Sub-package of spatstat containing code for linear networks

Lab exercises of Parallel Processing Systems course in NTUA

A Maxima package to compute Fourier series and solve partial differential equations.

Crank-Nicolson method for the heat equation in 2D

Numerical Method for Solving Basic PDE

A python model of the 2D heat equation

Various numerical methods are discussed to solve different problems numerically.

Julia file that solves a partial differential equation (PDE) using three parts: (1) setting up the PDE, (2) defining the numerical method for solving the PDE, and (3) running the simulation